Joseph Redmon
2016-11-27 b3c4fc9f223d9b6f50a1652d8d116fcdcc16f2e8
cfg/yolo-tiny.cfg
@@ -1,27 +1,24 @@
[net]
batch=64
subdivisions=64
height=448
width=448
subdivisions=8
width=416
height=416
channels=3
momentum=0.9
decay=0.0005
learning_rate=0.0001
policy=steps
steps=20,40,60,80,20000,30000
scales=5,5,2,2,.1,.1
max_batches = 40000
[crop]
crop_width=448
crop_height=448
flip=0
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.001
max_batches = 120000
policy=steps
steps=-1,100,80000,100000
scales=.1,10,.1,.1
[convolutional]
batch_normalize=1
filters=16
size=3
stride=1
@@ -33,6 +30,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
@@ -44,6 +42,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
@@ -55,6 +54,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
@@ -66,6 +66,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
@@ -77,6 +78,7 @@
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
@@ -85,56 +87,48 @@
[maxpool]
size=2
stride=2
stride=1
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
###########
[convolutional]
filters=1024
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
filters=1024
size=3
size=1
stride=1
pad=1
activation=leaky
[connected]
output=256
filters=425
activation=linear
[connected]
output=4096
activation=leaky
[dropout]
probability=.5
[connected]
output= 1470
activation=linear
[detection]
classes=20
[region]
anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
bias_match=1
classes=80
coords=4
rescore=1
side=7
num=2
softmax=0
sqrt=1
num=5
softmax=1
jitter=.2
rescore=1
object_scale=1
noobject_scale=.5
object_scale=5
noobject_scale=1
class_scale=1
coord_scale=5
coord_scale=1
absolute=1
thresh = .6
random=1